| dc.description.abstract | Nowadays, Web Services are widely used so that there is an immense collection of applications on the Web. Most of such applications, like information services about: weather, sports, news, among and others, rely on the use the REST architecture. Due to the massification that Web Services have reached, it is evident that more sophisticated mechanisms for managing and exploitation them are needed therefore, activities of web services such as discovery, searching and composition have become daily tasks among developers. However, some tasks implementation brings some obstacles caused by the lack of automatization within its processes, which requires high human intervention.
Currently, the main approach in solving the problem proposed by the lack of automation tasks related to the management of Web Services corresponds to the incorporation of semantic annotations. This approach aims to help computers to interpret and understand the information of Web Services, so that the aforementioned tasks (discovery, searching and composition) can be automated. Nonetheless, most of semantic annotations approaches require manual procedures up to date. Within this context, this thesis work describes the development of a platform for Web Services automatic semantic annotation, a platform that allows generating semantic annotations with reduced human intervention through the development of a component that allows the automatic selection of ontologies according to the Web Services domain. | |
